2018
DOI: 10.1088/1757-899x/355/1/012004
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Validation of mathematical model for CZ process using small-scale laboratory crystal growth furnace

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Cited by 4 publications
(12 citation statements)
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“…where λ c is the thermal conductivity and V is the crystal pull rate, which has only a vertical component V z = V. While the melt flow was not simulated, to correctly capture the crystallization interface shapes its influence was approximated by (i) homogeneous but time-dependent melt thermal conductivity λ m (t) and (ii) redistribution of the heat flux densities along the crystallization interface [30]. For the crystal λ c (T) = 98.89 − 9.43 × 10 −2 T + 2.89 × 10 −5 T 2 (in W/m/K) was used; emissivities were 0.64 and 0.30 for the solid and liquid Si, respectively.…”
Section: Heat Transfer and Phase Boundariesmentioning
confidence: 99%
See 1 more Smart Citation
“…where λ c is the thermal conductivity and V is the crystal pull rate, which has only a vertical component V z = V. While the melt flow was not simulated, to correctly capture the crystallization interface shapes its influence was approximated by (i) homogeneous but time-dependent melt thermal conductivity λ m (t) and (ii) redistribution of the heat flux densities along the crystallization interface [30]. For the crystal λ c (T) = 98.89 − 9.43 × 10 −2 T + 2.89 × 10 −5 T 2 (in W/m/K) was used; emissivities were 0.64 and 0.30 for the solid and liquid Si, respectively.…”
Section: Heat Transfer and Phase Boundariesmentioning
confidence: 99%
“…While the heat transfer in the crystal and q c is straightforward to calculate, q m can be strongly influenced by the melt flow, which is not solved explicitly. Its influence is included in the model by introducing the heat flux density correction q corr [30], which describes redistribution of heat sources along the interface, calculated based on the experimental interface shapes. The values of q corr (r) are obtained at certain positions in the crystal and are linearly interpolated according to the time-dependent crystal length.…”
Section: Thermal Stressesmentioning
confidence: 99%
“…Laminar convection of different origins was studied: thermal gravity, thermocapillary and thermal gravity capillary [10][11][12][13][14][15].…”
Section: Numerical Study Problem Statementmentioning
confidence: 99%
“…if the temperature control system does not produce disturbance). Determination of theoretical stability limits is another problem of physical and numerical simulation [1,[13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…Optimization of single crystal growth process modes requires a combined effort including physical and mathematical simulation of the growth processes as well as analysis of the homogeneity of the as-grown crystals. Numerical simulation of single crystal growth processes for the Czochralski technique is currently the focus of intense research for various growth chamber design options [6][7][8][9][10][11][12], yet there are no works that would combine numerical simulation of the hydrodynamic growth conditions with electrical resistivity simulation and measurement in growing crystals. It has been believed that, once a flat crystallization front is achieved, the main cause of radial inhomogeneities is the crystallographic symmetry of planes in the growing crystal.…”
Section: Introductionmentioning
confidence: 99%